diff --git a/notebooks/train-fastai.ipynb b/notebooks/train-fastai.ipynb
index f33636b..4fbc5dc 100644
--- a/notebooks/train-fastai.ipynb
+++ b/notebooks/train-fastai.ipynb
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {
     "tags": []
    },
@@ -30,16 +30,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'0.0.5'"
+       "'0.0.6'"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -75,7 +75,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -84,9 +84,51 @@
      "text": [
       "Apply default transform\n",
       "Downloading CSV file\n",
-      "Excluded Abyssinian_101 from the trainval set\n",
+      "Excluded Abyssinian_114 from the trainval set\n",
+      "Excluded beagle_142 from the trainval set\n",
+      "Excluded Bengal_105 from the trainval set\n",
+      "Excluded Bengal_131 from the trainval set\n",
+      "Excluded Bombay_132 from the trainval set\n",
+      "Excluded Bombay_139 from the trainval set\n",
+      "Excluded Abyssinian_177 from the trainval set\n",
+      "Excluded Abyssinian_18 from the trainval set\n",
+      "Excluded Bombay_150 from the trainval set\n",
+      "Excluded Bombay_157 from the trainval set\n",
+      "Excluded Bombay_177 from the trainval set\n",
+      "Excluded Bombay_191 from the trainval set\n",
+      "Excluded Bombay_19 from the trainval set\n",
+      "Excluded german_shorthaired_173 from the trainval set\n",
+      "Excluded keeshond_162 from the trainval set\n",
+      "Excluded keeshond_167 from the trainval set\n",
+      "Excluded keeshond_170 from the trainval set\n",
+      "Excluded leonberger_187 from the trainval set\n",
+      "Excluded Ragdoll_161 from the trainval set\n",
+      "Excluded saint_bernard_158 from the trainval set\n",
+      "Excluded yorkshire_terrier_180 from the trainval set\n",
+      "Excluded yorkshire_terrier_182 from the trainval set\n",
       "Downloading CSV file\n",
-      "Excluded Abyssinian_101 from the test set\n"
+      "Excluded Abyssinian_114 from the test set\n",
+      "Excluded beagle_142 from the test set\n",
+      "Excluded Bengal_105 from the test set\n",
+      "Excluded Bengal_131 from the test set\n",
+      "Excluded Bombay_132 from the test set\n",
+      "Excluded Bombay_139 from the test set\n",
+      "Excluded Abyssinian_177 from the test set\n",
+      "Excluded Abyssinian_18 from the test set\n",
+      "Excluded Bombay_150 from the test set\n",
+      "Excluded Bombay_157 from the test set\n",
+      "Excluded Bombay_177 from the test set\n",
+      "Excluded Bombay_191 from the test set\n",
+      "Excluded Bombay_19 from the test set\n",
+      "Excluded german_shorthaired_173 from the test set\n",
+      "Excluded keeshond_162 from the test set\n",
+      "Excluded keeshond_167 from the test set\n",
+      "Excluded keeshond_170 from the test set\n",
+      "Excluded leonberger_187 from the test set\n",
+      "Excluded Ragdoll_161 from the test set\n",
+      "Excluded saint_bernard_158 from the test set\n",
+      "Excluded yorkshire_terrier_180 from the test set\n",
+      "Excluded yorkshire_terrier_182 from the test set\n"
      ]
     }
    ],
@@ -108,7 +150,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Contructing DataLoaders"
+    "## Constructing DataLoaders"
    ]
   },
   {
@@ -122,7 +164,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -148,7 +190,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -169,7 +211,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -196,7 +238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {
     "scrolled": false
    },
@@ -217,23 +259,8 @@
        " 'ecaresnet200d',\n",
        " 'ecaresnet269d',\n",
        " 'ecaresnetlight',\n",
-       " 'ens_adv_inception_resnet_v2',\n",
        " 'gcresnet33ts',\n",
        " 'gcresnet50t',\n",
-       " 'gluon_resnet18_v1b',\n",
-       " 'gluon_resnet34_v1b',\n",
-       " 'gluon_resnet50_v1b',\n",
-       " 'gluon_resnet50_v1c',\n",
-       " 'gluon_resnet50_v1d',\n",
-       " 'gluon_resnet50_v1s',\n",
-       " 'gluon_resnet101_v1b',\n",
-       " 'gluon_resnet101_v1c',\n",
-       " 'gluon_resnet101_v1d',\n",
-       " 'gluon_resnet101_v1s',\n",
-       " 'gluon_resnet152_v1b',\n",
-       " 'gluon_resnet152_v1c',\n",
-       " 'gluon_resnet152_v1d',\n",
-       " 'gluon_resnet152_v1s',\n",
        " 'inception_resnet_v2',\n",
        " 'lambda_resnet26rpt_256',\n",
        " 'lambda_resnet26t',\n",
@@ -265,16 +292,23 @@
        " 'resnet34d',\n",
        " 'resnet50',\n",
        " 'resnet50_gn',\n",
+       " 'resnet50c',\n",
        " 'resnet50d',\n",
+       " 'resnet50s',\n",
        " 'resnet50t',\n",
        " 'resnet51q',\n",
        " 'resnet61q',\n",
        " 'resnet101',\n",
+       " 'resnet101c',\n",
        " 'resnet101d',\n",
+       " 'resnet101s',\n",
        " 'resnet152',\n",
+       " 'resnet152c',\n",
        " 'resnet152d',\n",
+       " 'resnet152s',\n",
        " 'resnet200',\n",
        " 'resnet200d',\n",
+       " 'resnetaa34d',\n",
        " 'resnetaa50',\n",
        " 'resnetaa50d',\n",
        " 'resnetaa101d',\n",
@@ -291,30 +325,20 @@
        " 'resnetrs420',\n",
        " 'resnetv2_50',\n",
        " 'resnetv2_50d',\n",
-       " 'resnetv2_50d_evob',\n",
        " 'resnetv2_50d_evos',\n",
        " 'resnetv2_50d_frn',\n",
        " 'resnetv2_50d_gn',\n",
        " 'resnetv2_50t',\n",
-       " 'resnetv2_50x1_bit_distilled',\n",
-       " 'resnetv2_50x1_bitm',\n",
-       " 'resnetv2_50x1_bitm_in21k',\n",
-       " 'resnetv2_50x3_bitm',\n",
-       " 'resnetv2_50x3_bitm_in21k',\n",
+       " 'resnetv2_50x1_bit',\n",
+       " 'resnetv2_50x3_bit',\n",
        " 'resnetv2_101',\n",
        " 'resnetv2_101d',\n",
-       " 'resnetv2_101x1_bitm',\n",
-       " 'resnetv2_101x1_bitm_in21k',\n",
-       " 'resnetv2_101x3_bitm',\n",
-       " 'resnetv2_101x3_bitm_in21k',\n",
+       " 'resnetv2_101x1_bit',\n",
+       " 'resnetv2_101x3_bit',\n",
        " 'resnetv2_152',\n",
        " 'resnetv2_152d',\n",
-       " 'resnetv2_152x2_bit_teacher',\n",
-       " 'resnetv2_152x2_bit_teacher_384',\n",
-       " 'resnetv2_152x2_bitm',\n",
-       " 'resnetv2_152x2_bitm_in21k',\n",
-       " 'resnetv2_152x4_bitm',\n",
-       " 'resnetv2_152x4_bitm_in21k',\n",
+       " 'resnetv2_152x2_bit',\n",
+       " 'resnetv2_152x4_bit',\n",
        " 'seresnet18',\n",
        " 'seresnet33ts',\n",
        " 'seresnet34',\n",
@@ -330,25 +354,11 @@
        " 'skresnet34',\n",
        " 'skresnet50',\n",
        " 'skresnet50d',\n",
-       " 'ssl_resnet18',\n",
-       " 'ssl_resnet50',\n",
-       " 'swsl_resnet18',\n",
-       " 'swsl_resnet50',\n",
        " 'tresnet_l',\n",
-       " 'tresnet_l_448',\n",
        " 'tresnet_m',\n",
-       " 'tresnet_m_448',\n",
-       " 'tresnet_m_miil_in21k',\n",
        " 'tresnet_v2_l',\n",
        " 'tresnet_xl',\n",
-       " 'tresnet_xl_448',\n",
-       " 'tv_resnet34',\n",
-       " 'tv_resnet50',\n",
-       " 'tv_resnet101',\n",
-       " 'tv_resnet152',\n",
        " 'vit_base_resnet26d_224',\n",
-       " 'vit_base_resnet50_224_in21k',\n",
-       " 'vit_base_resnet50_384',\n",
        " 'vit_base_resnet50d_224',\n",
        " 'vit_small_resnet26d_224',\n",
        " 'vit_small_resnet50d_s16_224',\n",
@@ -356,7 +366,7 @@
        " 'wide_resnet101_2']"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -377,17 +387,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Downloading: \"https://download.pytorch.org/models/resnet18-5c106cde.pth\" to /home/dnth/.cache/torch/hub/checkpoints/resnet18-5c106cde.pth\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "model = timm.create_model('resnet18', pretrained=True)"
    ]
@@ -403,7 +405,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -419,7 +421,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 10,
    "metadata": {
     "tags": []
    },
@@ -464,16 +466,16 @@
     {
      "data": {
       "text/plain": [
-       "SuggestedLRs(valley=0.0004786300996784121)"
+       "SuggestedLRs(valley=0.00363078061491251)"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -495,7 +497,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -541,9 +543,9 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <td>0</td>\n",
-       "      <td>3.389672</td>\n",
-       "      <td>3.121904</td>\n",
-       "      <td>0.416689</td>\n",
+       "      <td>4.019043</td>\n",
+       "      <td>2.298470</td>\n",
+       "      <td>0.633406</td>\n",
        "      <td>00:23</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -558,7 +560,7 @@
     },
     {
      "data": {
-      "image/png": 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IICK6DplMhqioKOTk5CA7W6I1AJoJQRAQFhYGuVzeoNdhAKgnQRDw0j3tYLFaMX/rWby68gjSC8vx8pAYyGVMtUREV1IqlQgPD4fZbIbFwrVW6kuhUDT4wx9gAGgQQRDw8pAYeKkU+HjDCXy17SxO5Zfis7HdoHFvWNcMEVFzdLnruqHd19Rwks8E6OwEQcDkgdH4fGx3uCtk2HziAkb+dwcyCsukLo2IiOi6GADsZGjnEPz8ZF8Ea9xxKr8Uo+buxLmLnDqYiIgcEwOAHcWGabHqmX5oF+SNCwYjxi/Yi5JyriRIRESOhwHAzgI17ljwaE9bT8CTPyTDaOZgFyIiciwMAI0g1EeNr8f3hJfKDbvOFOHFpQdhtTrUfEtEROTiGAAaSYdQDf6b0B1uMgErU7Pxwbo0qUsiIiKyYQBoRLe2DcC7I2MBAHM3n8bsDSckroiIiKgaA0AjeyBOh5eHtAcAzN5wEp9tPClxRURERAwATWLira3x0j3VIeCj9Sfw+aZTEldERESujgGgiTx9e2u8MKgdAODDdWn4cvNpiSsiIiJXxgDQhBLvaIN/39UWAJC09jh+PcAFMYiISBoMAE3s2QHRmHBLFADg+Z8P4EBWsbQFERGRS2IAkMC0wTG4s30gjGYrJnyXjNySSqlLIiIiF8MAIAG5TMAnD3ZF2yAv5BuMmPBdMipMnC2QiIiaDgOARLzdFfhqXE/4eSpx6HwJnl28D8XlJqnLIiIiF8EAICGdnwfmPtQDCrmADcfycedHm/FzchZEkdMGExFR42IAkFivKD8smtAb0YFeKCoz4YWlB/HAlzuRlmuQujQiImrGGAAcQM9IP/w2+RZMH9weaoUce9MvYticbXxMkIiIGg0DgINQyGV48rbW2PDv23B7uwCYzFY8u3g/Pt90ircEiIjI7hgAHExLHzW+GtcTj/evnivgw3VpeOmXg6iyWCWujIiImhMGAAcklwl49d4OeGt4R8gE4Kfkc3h0wV4+KkhERHbDAODAHukTia/G9YSnUo5tpwrw1A8pMJnZE0BERA3HAODg7mgfiO8e7wW1Qo7NJy7guR9TYbFyTAARETUMA4AT6BHhhy8f7gGlXIY1h3IwfdlBWBkCiIioARgAnMStbQPw6ZiutjEBb60+yp4AIiKqNwYAJ3JPpxB8MKoLAOCbHen455c7cbagTOKqiIjIGTEAOJlRPcIw64Eu8FTKkZxxEYM/2YKvt53lLQEiIqoTBgAnNLJ7GNY9dyv6tfFHZZUVb60+irH/2wVDZZXUpRERkZNgAHBSYb4e+OHxeLxzfyd4KOXYdaYIzyzaDzMnDCIiolpgAHBigiDgod4R+HFiH9tjgm/8eoRTBxMR0U0xADQDsWFazH6wKwQB+GFXJhZsT5e6JCIicnAMAM3EoI7BmD64PQDg7TVHseFonsQVERGRI2MAaEYm3NIKY3rpIIrApCX7cSxHL3VJRETkoBgAmhFBEPDW8E7o18Yf5SYLJn6fjItlJqnLIiIiB8QA0Mwo5DLMGdMdOj81sooqkLhoH58MICKiqzAANEO+nkrMfyQOHko5dpwuxLu/HZe6JCIicjAMAM1U+2ANPhpdPW3w19vP4peUcxJXREREjsTuAcBiseDVV19FVFQU1Go1WrdujbfffpvPpktgcGwInr2zDQBg+vJDSE4vkrgiIiJyFHYPAO+//z6++OILzJkzB8eOHcP777+PDz74AJ999pm9L0W18NzAthgYEwST2YrHvtmL47l8MoCIiBohAOzYsQPDhw/H0KFDERkZiVGjRuHuu+/Gnj177H0pqgWZTMBnY7qhR4Qv9JVmPPLVHmQVlUtdFhERSczuAaBv377YuHEjTpw4AQA4cOAAtm3bhsGDB1/zfKPRCL1eX2Mj+1Ir5fh6XE+0C/JGvsGIR77eg4JSo9RlERGRhOweAKZNm4YHH3wQ7du3h0KhQLdu3TBlyhQkJCRc8/ykpCRotVrbptPp7F0SAdB6KPDtY73Q0keNswVlGL9gD/RcPZCIyGXZPQD89NNPWLhwIRYtWoR9+/bh22+/xcyZM/Htt99e8/zp06ejpKTEtmVlZdm7JLokWOuO7x/vBX9PJQ6f1+Phr/agpJwhgIjIFQminYfn63Q6TJs2DYmJibZ977zzDn744QccP37z59H1ej20Wi1KSkqg0WjsWRpdciS7BA/9bzcullehU0sNvn8sHr6eSqnLIiKiBqrLZ6jdewDKy8shk9V8WblcDquVs9E5io6hWiye2NvWEzBm/i4UckwAEZFLsXsAGDZsGGbMmIE1a9YgPT0dy5cvx6xZszBixAh7X4oaoH2wBksm9kaAtwrHcw14cN4uXDAwBBARuQq73wIwGAx49dVXsXz5cuTn5yM0NBRjxozBa6+9BqXy5t3MvAXQtM5cKMXY+buRq69E2yAvLJ7QG/5eKqnLIiKieqjLZ6jdA0BDMQA0vfSCMvxz3k7k6Y2ICdFg8YR4+HhwTAARkbORdAwAOZ/IFp5YNKE3WnipcCzn0tMBFXw6gIioOWMAIABA6wAvLJ4QD39PJQ6dL8EjXzMEEBE1ZwwAZBMd5I2FE+Lh66HAgaxijPjvdqQXlEldFhERNQIGAKqhfbAGC5/ojRCtO85cKMPwz7djx6kCqcsiIiI7YwCgq3QI1WBlYj901fmgpKIKj3y9Bz/sypC6LCIisiMGALqmQI07lkzsjfu7hsJsFfGfFYfx7m/H4GAPjRARUT0xANB1uSvk+PifXfHCoHYAgHlbzuD5nw/CbOGsjkREzo4BgG5IEAQk3tEGM0d3gVwm4Jd95/Dk9ymoMFmkLo2IiBqAAYBqZVSPMMx7uAdUbjJsPJ6Ph7/azZUEiYicGAMA1dqAmCD88EQ8NO5uSM64iIe/3s25AoiInBQDANVJz0g//PRUH/h5KnHwXAke+Wo39JUMAUREzoYBgOqsfbAGiy5PGHSuBI98tQcGhgAiIqfCAED1cnnCIB8PBVKzijHua4YAIiJnwgBA9dYhVIMfHo+HVq3AvsxijPjvDpy+UCp1WUREVAsMANQgnVpqsfCJeARpVDiVX4rhc7Zj3ZFcqcsiIqKbYACgBuvUUotfn+2PXlF+KDWa8eT3KZi5Lg0WK2cNJCJyVAwAZBeB3u5Y+EQ8HusXBQCYs+kUJn6XjDKjWeLKiIjoWhgAyG4UchleG9YBs//Z1TZh0ANf7kRuSaXUpRER0RUYAMju7u/WEosn9oa/pxJHsvW4//PtOJJdInVZRET0NwwA1Ci6h/tiRWI/tAn0Qq6+EqPn7sQfx/OkLouIiC5hAKBGo/PzwC9P90Xf1v4oN1nwxLfJWLD9LJcUJiJyAAwA1Ki0agW+fawXHuypg1UE3vz1KF5beYRLChMRSYwBgBqdQi5D0shYvDykPQQB+H5XBh79Zi/XECAikhADADUJQRAw8dbWmPtQD6gVcmw9WYD7PtuGw+c5OJCISAoMANSkBnUMxs9P9UFLHzXSC8sx8r878P3OdI4LICJqYgwA1OQ6tdRizaT+GBgTBJPFildXHkHion28JUBE1IQYAEgSPh5KzH+kB/4zNAZuMgG/HcrF0E+3IjWrWOrSiIhcAgMASUYQBDxxSyssfbovwnzVyCqqwKgvdmDu5tOwch0BIqJGxQBAkuuq88GaSbdgaGwIzFYR7609jnEL9uCCwSh1aUREzRYDADkErVqBOWO7IWlkLNwVMmw9WYDhc7bheK5e6tKIiJolBgByGIIgYEyvcPz6TH+0CvBEdkklRn+xE1tPXpC6NCKiZocBgBxOdJA3lj3dF72i/GAwmvHogr34cW+m1GURETUrDADkkHw8lPj+8V64v2sozFYRL/1yCB/9XxrnCyAishMGAHJYKjc5Pv5nV0y6sw0A4LM/TuG1lUf4hAARkR0wAJBDEwQBU+9uhxkjOtnWEfj3zwdQxcWEiIgahAGAnEJCfARm/7Mr3GQClu8/j6d/2IfKKovUZREROS0GAHIaw7u2xJcP94DKTYYNx/Iwdv4uZBWVS10WEZFTYgAgpzIgJgjfPtYL3io37MssxpBPtmJl6nmpyyIicjoMAOR0erfyx5pJt6B7uA8MRjMmL0nFlCX7uZgQEVEdMACQUwr398BPT/bBlIHRkAnAitRs3PPxFmxKy5e6NCIip8AAQE7LTS7DlIFt8fNTfRHu54Hskko8umAv/v3TARSXm6Quj4jIoTEAkNPrEeGL36fcgsf6RUEQgF/2ncPAWVvwf0dypS6NiMhhNUoAOH/+PB566CH4+/tDrVYjNjYWycnJjXEpIgCAh9INrw3rgKVP9UHrAE8UlBox8fsUvPnrEZjMnDOAiOhKdg8AFy9eRL9+/aBQKLB27VocPXoUH330EXx9fe19KaKr9Ijww5pJt2DCLVEAgAXb0zH6y518XJCI6AqCaOfJ1adNm4bt27dj69at9fp+vV4PrVaLkpISaDQae5ZGLmbD0Tz8++cDKKmogsbdDTNHd8HdHYOlLouIqNHU5TPU7j0Aq1atQlxcHEaPHo3AwEB069YN8+fPv+75RqMRer2+xkZkDwM7BGHNpP7oovOBvtKMid+nYOpPqSgp5+OCRER2DwBnzpzBF198gejoaKxbtw5PP/00Jk2ahG+//faa5yclJUGr1do2nU5n75LIhYX5euDnJ/vgyVtbQRCAZfvO466PN2PD0TypSyMikpTdbwEolUrExcVhx44dtn2TJk3C3r17sXPnzqvONxqNMBqNtq/1ej10Oh1vAZDdpWRcxAtLD+DMhTIAwPCuoXhlaAwCvd0lroyIyD4kvQUQEhKCDh061NgXExODzMzMa56vUqmg0WhqbESNoUeEL36bdAuevLUVZAKwMjUbA2ZuxoLtZ2Hm6oJE5GLsHgD69euHtLS0GvtOnDiBiIgIe1+KqM7cFXJMHxKD5f/qh85hWhiMZrz561Hc+9k2JKcXSV0eEVGTsXsAeO6557Br1y68++67OHXqFBYtWoR58+YhMTHR3pciqrcuOh8s/1c/zBjRCVq1AsdzDRg1dyemLNmP3JJKqcsjImp0dh8DAACrV6/G9OnTcfLkSURFRWHq1KmYMGFCrb6XjwFSUysqM+GD34/jx+QsiCLgoZTjmTvb4PH+UVC5yaUuj4io1uryGdooAaAhGABIKgfPFeONVUewL7MYABDp74GkkZ3Rp7W/tIUREdWSpIMAiZxV5zAfLH2qL2Y90AWB3iqkF5ZjzPxdeHn5IS41TETNDgMA0d/IZAJGdg/Dhn/fhoT4cADAot2ZuHvWFmw8xrkDiKj5YAAgugaNuwIzRsRiycTeiPT3QK6+Eo9/m4wpS/bjYhmXGiYi58cAQHQDvVv54/cpt9rmDliRmo27Pt6M3w7lSF0aEVGDMAAQ3cTf5w5oG+SFglIT/rVwH576PgU5JRVSl0dEVC8MAES11EXng1+f7Y9JA6LhJhPw+5FcDPhoM77cfBomM2cSJCLnwgBAVAcqNzmm3tUWvz7bH3ERvig3WZC09jgGf7IF208VSF0eEVGtcR4AonqyWkUs238e7609hoLS6oGB8VF+ePbOaPRr4w9BECSukIhcDScCImpCJRVV+Hj9CSzcnYEqS/WPUxedD569ow0GxAQyCBBRk2EAIJJAdnEF5m05g8V7MmG8NCYgtqUWU+9qi9vbBTAIEFGjYwAgktAFgxH/23YG3+/MQLnJAgDoqvPBc3e1xa3RLRgEiKjRMAAQOYDCUiPmbTmDb3emo7Lqrx6BJ29rhXs6BsNNzjG4RGRfDABEDiTfUIm5f57Boj0ZtiAQ7ueBCbdEYXScDu4KrjhIRPbBAEDkgIrKTPhuZzq+3ZGOi+XViwsFeKsw8ZZWSOgdDg+lm8QVEpGzYwAgcmAVJgt+Ss7CvC1ncL64eiZBP08lHu8fhfF9I+GpYhAgovphACByAiazFcv3n8Pnm04js6gcAODvqUTiHW0wNj6ctwaIqM4YAIiciNlixaoD2fh040mkF1YHgRCtOyYPiMY/eoRBwcGCRFRLDABETqjKYsXSlHP4ZMNJ5OorAQChWnc8cUsrPNhLxzECRHRTDABETqyyyoIfdmVg7uYzKCg1AgB8PBQY1ycSj/SJgL+XSuIKichRMQAQNQOVVRYs23ceX245jYxLtwZUbjKM7B6Gx/tHok2gt8QVEpGjYQAgakYsVhFrD+dg3pYzOHiuxLb/9nYBeCg+Are3C+CkQkQEgAGAqFkSRRHJGRfxv61n8H9H83D5JzfAW4WR3VtidA8d2gR6SVskEUmKAYComcsoLMMPuzKwfP9521LEABATosGgjkEY1DEY7YO9ue4AkYthACByEVUWKzYdz8dPyeewKS0fFutfP87hfh4Y2b0lxvQKR5DGXcIqiaipMAAQuaCLZSZsOJaHdUfysPXkBduSxHKZgLtigvBwnwj0aeUPmYy9AkTNFQMAkYsrN5mx/mgeFu7KxJ70Itt+P08l+rdpgf7RLXBLdAuEaNUSVklE9sYAQEQ2x3P1WLgrE8v3n0ep0VzjWLdwH4zpFY57O4dwoiGiZoABgIiuYjJbsT/zIradKsCWkwU4dK4Yl4cMeKvcMLxbKP4ZF45OLTUcPEjkpBgAiOim8g2VWJpyDj/uzbJNNAQA7YK88Y8eLXF/15YI5OBBIqfCAEBEtWa1ith1phCL92bh/47k2gYPygSgT2t/3BUThLs6BqOlD8cLEDk6BgAiqpeSiiqsOZiDpSlZ2JdZXONYx1AN7u4QjCGxwYgO4jTERI6IAYCIGiy9oAzrj+Zh/dE8JGcU4W9TDKBNoBcGdwrGkNgQTjhE5EAYAIjIrgpLjdh4PB/rDudi68kCmCxW27FWAZ64NzYEQzuHol0wewaIpMQAQESNRl9ZhT+O5eO3Qzn488QFmMx/hQGdnxo9I/3QM9IPcRG+aB3gxYmHiJoQAwARNQlDZRU2HsvH6oM52HLiQo2eAQAI9Fbh7o5BGNwpBL2i/KDgqoVEjYoBgIiaXKnRjH0ZF5GcXoS96RexP+siKqv+CgQ+Hgrc1jbA1kMQHcjeASJ7YwAgIskZzRbsPF2IdUdy8X9H8lBYZqpxXOPuhl5R/ri1bQvcEh2ASH8PDiYkaiAGACJyKBariL3pRdh5uhDJGUXYl1GMiipLjXPCfNW4rW0ABnYIQp9W/nBXyCWqlsh5MQAQkUOrslhxNFuP7acLsPVEAZIzilBl+etXkadSjlvbBuD2dgGICdEgOtAbaiUDAdHNMAAQkVMpN5mx60whNh7Lx4ZjecjTG2scFwQgws8D7YM16BiqQYdLW7DGnbcNiP6GAYCInJbVKuLQ+RKsP5qHfZkXkZZruGr8wGUtvJToFu6LuAhfxEX6olNLLVRu7Ckg18UAQETNygWDEWm5BhzP1eNIth5Hs/U4daEUFmvNX19ymYAwXzUi/T0R6e+B1oFe6BXlh3ZBnK2QXINDBYD33nsP06dPx+TJkzF79uybns8AQES1UVllwZFsPVIyipCcfhEpGRdv2FPQu5U/+rZugfhWfmjVwpOBgJqlunyGujVmIXv37sWXX36Jzp07N+ZliMgFuSvk6BHhix4Rvph4KyCKInL1lcgoLEd6QRnSC8txJLsEe9OLUFBqwuqDOVh9MAcA0MJLhfgoP8RF+iK2pRbtQzTwUjXqr0Mih9No/48vLS1FQkIC5s+fj3feeaexLkNEBAAQBAEhWjVCtGr0buVv2280W5CaWYwdpwux83QhUs8Vo6DUiDWHcrDmUI7tvEj/6kGGrQI8EdXir83PU8neAmqWGi0AJCYmYujQoRg4cOANA4DRaITR+NeIX71e31glEZELUrnJEd/KH/Gt/PHcXdW3Dg6eK8Ges4VIybiIYzkG5OorkV5YjvTC8qu+389TiehAL7QL9kZ0kDei/D0R4e+BUB815JzJkJxYowSAJUuWYN++fdi7d+9Nz01KSsKbb77ZGGUQEV3FXSFHryg/9Irys+0rLDXiWE71IMOzBWVILyxDekE5sksqUFRmwu6zRdh9tqjG6yjkAnS+HogO8kL7YA1iQrwRE6KBzteDUxyTU7D7IMCsrCzExcVh/fr1tnv/t99+O7p27XrNQYDX6gHQ6XQcBEhEkqswWXD6QinScg04kW/AybxSZBSWIauo4qqFjy7zVrmhQ6gGsS21iA3TonWAFyJbeHKMATUJSZ8CWLFiBUaMGAG5/K9ncS0WCwRBgEwmg9ForHHsSnwKgIgcndVaPeDwbEEZjucacDxHj+O5BqTlGWosj/x3LbxUiGrhgXbB3ugUqkWnllpEB3lx3gKyK0kDgMFgQEZGRo19jz76KNq3b4+XXnoJnTp1uuH3MwAQkbOqslhxKr8Uh86X4Mj5EhzO1iO9oOy6jycq5ALaBnmjc5gWsS19EHspFHAdBKovSR8D9Pb2vupD3tPTE/7+/jf98CcicmYKuQwxIRrEhGiAOJ1tf0lFFTILy3GmoBRHs/U4nF2Cw+f1KKmowpHs6smNFiMLACATAJ2fB1oHeKFNoBfaBHihVYAnWgd4wddTKdVbo2aIN6WIiBqZVq1AbFj1mIDhXVsCqJ634NzFChw+X4KD50tw+HwJDp0vQXF5FTIKy5FRWI4/jufXeB0/TyUi/D2g8/WAzk+NMN+//h3qo4ZCLpPi7ZGT4lTAREQOQhRFXCg14lR+KU5fKMPp/FKcvlCK0/mlyC6pvOH3ygQgRKtGmK8aOr+awSDAW4UAbxW8VW6c06CZc6ipgOuKAYCI6GplRjPOFpQhs6gcWUXlOHexAlkX//q38TqDD/9O6SZDSx81ogO9EB3khbZB3gj384BWrbBtbuxFcGoMAERELuRyz0FWUQXOXQoFWUXVASFXX4kLBiMMleZavZZWrUCojxotfap7EwK8VfBSucFDKYeH0g0eKjm8VW7wVLnBS+UGX08lH3F0IA6zFgARETU+QRAQ6O2OQG939IjwveY5lVUWXDAYkVlUjhN5BpzML8XJPAOyiyuhr6iCwVgdEEoqqlBSUYVjObWflTVE6462Qd5oH+yNVgGe8PVQVvcoeFT3Kni7K+ChkHOCJAfDHgAiIoLZYoW+0owLBiOyiytwrrgC5y9WoKDUiAqTBWUmM8qNFpQazSgzmVFmNKPUaEZl1c1vPQCAIABeSjdo1AoEeKsQrHFHkEaFFl4qWMXqRyirrFZARPVxrTtCtO4I0rhDrZBD6Sar3uQyjmO4AfYAEBFRnbjJZfDzVMLPU4l2wd61/r6SiiqczKueBOlErgHpheUoqaiCvqIKxZd6EyxWEaIIGIxmGIxmnC+uqHedggB4KqtvP3i5u8Hb3Q2hPmqE+3kg/NLgR19PBTTu1ZuXuxvXbLgO9gAQEVGjEUURlVVWGIxVKK00o7iiCvl6I/INlcgtqURRmQkymQCFTLANQMw3GJFbUoHs4urxC9ebdrm2fDwUaOGlQgsv5aX/Vj8V4e+phL+XCn6eSvh7KuHnpXT6JyXYA0BERA5BEASolXKolXIE1r5joQarVYTJYoXJYoWxymq7/WCoNKOkogrniyuQWXjpCYmLFbYeiMtPRhSXV6G4vAqn8m9yIQBKuQw+HorqTa2E9lJ4CNKoEHTptoWvhxKelwdCKt0gQoShsrqeUqMZglA9mNJHrYBGrXDYmR0ZAIiIyKHJZALcZfLqD1L36jECtWEyW6GvrEJRmQkFBiMulBpxwWBEYZkJhaVGFJaaUFBa/XVRmQnlJgtMFivyDUbkG4w3v0AteSrlCPrbmAZ/TyXUCjlUiur3JBdQHXDM1ZvZ+lfHvCAAcpkMnko5PFRu8FTKa4yJUMir/xvl71nnmSIZAIiIqFlSuslsXf5tg27e/VBhsqCwzIji8uqxC8XlVbhYXh0S8vRG5Omrb1voK6tQZjSjzGix3Z5QK+TVYxJUbrCKou1pCqsIlJksOHOhDGculDXae/3kwa62WSZriwGAiIgIgFopR5jSA2HXfpLymkxmKwQB15yG2WoVUWoyo8BgRO6l8JBTUonichMqq6yorLKg0myF1SpC6SaD6tJf9XKZAAECRFT3BJgtIspNlurQYTKjwmRBlcUKk0WEyWxBlUWEt3vdP84ZAIiIiOpJ6Xb9mRNlMsH2NEKrAK8mrKp2OOcjERGRC2IAICIickEMAERERC6IAYCIiMgFMQAQERG5IAYAIiIiF8QAQERE5IIYAIiIiFwQAwAREZELYgAgIiJyQQwARERELogBgIiIyAUxABAREbkgBgAiIiIXxABARETkghgAiIiIXBADABERkQtiACAiInJBDABEREQuiAGAiIjIBTEAEBERuSAGACIiIhfEAEBEROSCGACIiIhcEAMAERGRC2IAICIickEMAERERC6IAYCIiMgFMQAQERG5IAYAIiIiF8QAQERE5ILsHgCSkpLQs2dPeHt7IzAwEPfffz/S0tLsfRkiIiJqALsHgM2bNyMxMRG7du3C+vXrUVVVhbvvvhtlZWX2vhQRERHVkyCKotiYF7hw4QICAwOxefNm3HrrrVcdNxqNMBqNtq/1ej10Oh1KSkqg0WgaszQiIqJmRa/XQ6vV1uoztNHHAJSUlAAA/Pz8rnk8KSkJWq3Wtul0usYuiYiIyOU1ag+A1WrFfffdh+LiYmzbtu2a57AHgIiIyD7q0gPg1piFJCYm4vDhw9f98AcAlUoFlUrVmGUQERHRFRotADzzzDNYvXo1tmzZgrCwsMa6DBEREdWD3QOAKIp49tlnsXz5cvz555+Iioqy9yWIiIiogeweABITE7Fo0SKsXLkS3t7eyM3NBQBotVqo1Wp7X46IiIjqwe6DAAVBuOb+BQsWYPz48Tf9/roMYCAiIqK/SDoIsJGnFSAiIiI74FoARERELogBgIiIyAUxABAREbkgBgAiIiIXxABARETkghgAiIiIXBADABERkQtiACAiInJBDABEREQuiAGAiIjIBTEAEBERuSAGACIiIhfEAEBEROSCGACIiIhcEAMAERGRC2IAICIickEMAERERC6IAYCIiMgFMQAQERG5IAYAIiIiF8QAQERE5IIYAIiIiFwQAwAREZELYgAgIiJyQQwARERELogBgIiIyAUxABAREbkgBgAiIiIXxABARETkghgAiIiIXBADABERkQtiACAiInJBDABEREQuiAGAiIjIBTEAEBERuSAGACIiIhfEAEBEROSCGACIiIhcEAMAERGRC2IAICIickEMAERERC6IAYCIiMgFNVoA+PzzzxEZGQl3d3fEx8djz549jXUpIiIiqqNGCQA//vgjpk6ditdffx379u1Dly5dMGjQIOTn5zfG5YiIiKiOBFEURXu/aHx8PHr27Ik5c+YAAKxWK3Q6HZ599llMmzatxrlGoxFGo9H2dUlJCcLDw5GVlQWNRmPv0oiIiJotvV4PnU6H4uJiaLXaG57rZu+Lm0wmpKSkYPr06bZ9MpkMAwcOxM6dO686PykpCW+++eZV+3U6nb1LIyIicgkGg6HpA0BBQQEsFguCgoJq7A8KCsLx48evOn/69OmYOnWq7evi4mJEREQgMzPzpsXTtV1OgOxFqT+2YcOxDRuObdhwrtaGoijCYDAgNDT0pufaPQDUlUqlgkqlumq/Vqt1if+xGpNGo2EbNhDbsOHYhg3HNmw4V2rD2v7xbPdBgC1atIBcLkdeXl6N/Xl5eQgODrb35YiIiKge7B4AlEolevTogY0bN9r2Wa1WbNy4EX369LH35YiIiKgeGuUWwNSpUzFu3DjExcWhV69emD17NsrKyvDoo4/e9HtVKhVef/31a94WoNphGzYc27Dh2IYNxzZsOLbh9TXKY4AAMGfOHHz44YfIzc1F165d8emnnyI+Pr4xLkVERER11GgBgIiIiBwX1wIgIiJyQQwARERELogBgIiIyAUxABAREbkghwsAXEa4dpKSktCzZ094e3sjMDAQ999/P9LS0mqcU1lZicTERPj7+8PLywv/+Mc/rpqgif7y3nvvQRAETJkyxbaPbXhz58+fx0MPPQR/f3+o1WrExsYiOTnZdlwURbz22msICQmBWq3GwIEDcfLkSQkrdiwWiwWvvvoqoqKioFar0bp1a7z99tv4+/hstmFNW7ZswbBhwxAaGgpBELBixYoax2vTXkVFRUhISIBGo4GPjw8ef/xxlJaWNuG7cACiA1myZImoVCrFr7/+Wjxy5Ig4YcIE0cfHR8zLy5O6NIczaNAgccGCBeLhw4fF1NRUcciQIWJ4eLhYWlpqO+epp54SdTqduHHjRjE5OVns3bu32LdvXwmrdlx79uwRIyMjxc6dO4uTJ0+27Wcb3lhRUZEYEREhjh8/Xty9e7d45swZcd26deKpU6ds57z33nuiVqsVV6xYIR44cEC87777xKioKLGiokLCyh3HjBkzRH9/f3H16tXi2bNnxZ9//ln08vISP/nkE9s5bMOafvvtN/GVV14Rly1bJgIQly9fXuN4bdrrnnvuEbt06SLu2rVL3Lp1q9imTRtxzJgxTfxOpOVQAaBXr15iYmKi7WuLxSKGhoaKSUlJElblHPLz80UA4ubNm0VRFMXi4mJRoVCIP//8s+2cY8eOiQDEnTt3SlWmQzIYDGJ0dLS4fv168bbbbrMFALbhzb300kti//79r3vcarWKwcHB4ocffmjbV1xcLKpUKnHx4sVNUaLDGzp0qPjYY4/V2Ddy5EgxISFBFEW24c1cGQBq015Hjx4VAYh79+61nbN27VpREATx/PnzTVa71BzmFsDlZYQHDhxo23ejZYSpppKSEgCAn58fACAlJQVVVVU12rN9+/YIDw9ne14hMTERQ4cOrdFWANuwNlatWoW4uDiMHj0agYGB6NatG+bPn287fvbsWeTm5tZoQ61Wi/j4eLbhJX379sXGjRtx4sQJAMCBAwewbds2DB48GADbsK5q0147d+6Ej48P4uLibOcMHDgQMpkMu3fvbvKapSL5aoCX1XUZYfqL1WrFlClT0K9fP3Tq1AkAkJubC6VSCR8fnxrnBgUFITc3V4IqHdOSJUuwb98+7N2796pjbMObO3PmDL744gtMnToVL7/8Mvbu3YtJkyZBqVRi3Lhxtna61s8127DatGnToNfr0b59e8jlclgsFsyYMQMJCQkAwDaso9q0V25uLgIDA2scd3Nzg5+fn0u1qcMEAKq/xMREHD58GNu2bZO6FKeSlZWFyZMnY/369XB3d5e6HKdktVoRFxeHd999FwDQrVs3HD58GHPnzsW4ceMkrs45/PTTT1i4cCEWLVqEjh07IjU1FVOmTEFoaCjbkBqVw9wC4DLC9fPMM89g9erV2LRpE8LCwmz7g4ODYTKZUFxcXON8tudfUlJSkJ+fj+7du8PNzQ1ubm7YvHkzPv30U7i5uSEoKIhteBMhISHo0KFDjX0xMTHIzMwEAFs78ef6+l544QVMmzYNDz74IGJjY/Hwww/jueeeQ1JSEgC2YV3Vpr2Cg4ORn59f47jZbEZRUZFLtanDBAAuI1w3oijimWeewfLly/HHH38gKiqqxvEePXpAoVDUaM+0tDRkZmayPS8ZMGAADh06hNTUVNsWFxeHhIQE27/ZhjfWr1+/qx4/PXHiBCIiIgAAUVFRCA4OrtGGer0eu3fvZhteUl5eDpms5q9iuVwOq9UKgG1YV7Vprz59+qC4uBgpKSm2c/744w9YrVbXWrRO6lGIf7dkyRJRpVKJ33zzjXj06FFx4sSJoo+Pj5ibmyt1aQ7n6aefFrVarfjnn3+KOTk5tq28vNx2zlNPPSWGh4eLf/zxh5icnCz26dNH7NOnj4RVO76/PwUgimzDm9mzZ4/o5uYmzpgxQzx58qS4cOFC0cPDQ/zhhx9s57z33nuij4+PuHLlSvHgwYPi8OHDXfoRtiuNGzdObNmype0xwGXLloktWrQQX3zxRds5bMOaDAaDuH//fnH//v0iAHHWrFni/v37xYyMDFEUa9de99xzj9itWzdx9+7d4rZt28To6Gg+Bii1zz77TAwPDxeVSqXYq1cvcdeuXVKX5JAAXHNbsGCB7ZyKigrxX//6l+jr6yt6eHiII0aMEHNycqQr2glcGQDYhjf366+/ip06dRJVKpXYvn17cd68eTWOW61W8dVXXxWDgoJElUolDhgwQExLS5OoWsej1+vFyZMni+Hh4aK7u7vYqlUr8ZVXXhGNRqPtHLZhTZs2bbrm779x48aJoli79iosLBTHjBkjenl5iRqNRnz00UdFg8EgwbuRDpcDJiIickEOMwaAiIiImg4DABERkQtiACAiInJBDABEREQuiAGAiIjIBTEAEBERuSAGACIiIhfEAEBEROSCGACIiIhcEAMAERGRC2IAICIickH/D7GSgPiBdHNqAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 600x400 with 1 Axes>"
       ]
@@ -609,37 +611,37 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <td>0</td>\n",
-       "      <td>2.300093</td>\n",
-       "      <td>2.422301</td>\n",
-       "      <td>0.625442</td>\n",
+       "      <td>2.227736</td>\n",
+       "      <td>1.643665</td>\n",
+       "      <td>0.853198</td>\n",
        "      <td>00:23</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>1</td>\n",
-       "      <td>2.506293</td>\n",
-       "      <td>2.797325</td>\n",
-       "      <td>0.506388</td>\n",
-       "      <td>00:23</td>\n",
+       "      <td>2.049133</td>\n",
+       "      <td>1.505790</td>\n",
+       "      <td>0.893384</td>\n",
+       "      <td>00:22</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>2</td>\n",
-       "      <td>2.203109</td>\n",
-       "      <td>1.689393</td>\n",
-       "      <td>0.794509</td>\n",
+       "      <td>1.873231</td>\n",
+       "      <td>1.355780</td>\n",
+       "      <td>0.937124</td>\n",
        "      <td>00:23</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>3</td>\n",
-       "      <td>1.889285</td>\n",
-       "      <td>1.319194</td>\n",
-       "      <td>0.939658</td>\n",
+       "      <td>1.740781</td>\n",
+       "      <td>1.278495</td>\n",
+       "      <td>0.963641</td>\n",
        "      <td>00:23</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <td>4</td>\n",
-       "      <td>1.656104</td>\n",
-       "      <td>1.267857</td>\n",
-       "      <td>0.958684</td>\n",
+       "      <td>1.637288</td>\n",
+       "      <td>1.257875</td>\n",
+       "      <td>0.966102</td>\n",
        "      <td>00:23</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -654,7 +656,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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YGAjcpNMo8OrySVj596PYfqoUMqkEL/wkBQpZj5eFICIatiQSCRQKBRQKrkjraewy6KGdp0vxf//KgNUuMCrUF3fPjsOZEgOuTwjFnDGh8FUxaxERkedxDMEA+CK7HA9/dBKGZkubY2H+KiTq/WFstiAuxBdrf5AIf7Ucgb6O/p28qkb842A+RoX6YiWXZiYion7CQDBAKutN+MnGgyisaYK9G3cyQqdGZIAGGYW1zvK/vXks7r0+DnYhODsiERH1KQaCAdRktqK+xYoQPxUO5FbhyY+zkF/dhLmJofhefAg27v8OVQ2mLt9HIgGmxATikbREzBwVDLtdQMoBi0RE1AsMBB5kttphbLEgxE8FACiua0ZWsQFRARq8uucCxkfqcEtKBGKDffHWgTz86YvzaDK7jrAN9VfBZLHhsUXjkDZejwCfto+SEBERdYWBwIvklNXjq/OVuGFMKP648yy+Ol/pcjwmyAdb7p/lDBhERETdxUDgpcxWO/aeK0dtkwX/76vv8F1VIwAg2FeJn0yNxj3fi0OAj4KPORIRUbcwEAwRuRX1+Nk7x53BAAAidWrMGBWMYF8l7rk+DhE6jQdrSEREgxkDwRBittqxLaMYj207DYvN9T+XVi3H+iXjkTZezxUYiYioDQaCISi7xIiqBhMOXqzGf05cQmX91ScX1AopHluUhP+dOdKDNSQiosGGgWAYaLHY8OqeC/jkZIlzFcYlEyOx5sZ4jAn3d5arb7FAJZdBKee4AyKi4YaBYBgRQuC5XTnYuP8iAEApl+LX8xPRbLFhz7kKnLpUBz+VHL9OS+SsiEREwwwDwTBjtwv8+t+n8J8Tlzotd/fsOKy5cTSC+QgjEdGwwEAwTNnsAv84mI9PTpZAJZfih5OjMDs+BFtPFOPF3ecBADKpBPOTwhHip0JVgwlLJkbh5gl6D9eciIj6AwMBtbHzdCne2HcRp4sNbY4F+SqxfHo0lDIZPs0qRVKkFht+nAIZp04mIvJqDATUob/uv4j0T89hrN4fE6MDsPnbonbL/WreGKy+Ic7lcUarzQ6pRAKJBDBZ7agwmhAT7DNQVSciIjcxEFCnLlY2ICbIBwqZFLkVDfjsTBneP1KIivoWjAn3x5kSo7Ps8unRsNkFPjtT3u5Sz6uvj8PvFo6DRMLWBCKiwYaBgNxmtws0W2zwVcnxm3+fxIfHOh+g2NodM2KwMnUk4kP9IOe0ykREgwYDAfWKzS5wNK8GFfUt+PpCFfafr8TcMaF4dMFYfH2hCgICs0eH4LPscjy+Lct5nr9KjlB/FcK0KixKjsT/zIhhywERkQcxENCA2ZVVhre/yUN2iRH1JqvLsVEhvrh5gh4/nzMaGoUM2aVGWGx2TB0ZCAAoqmlGVKCGgxeJiPoJAwENOKvNjouVjTA0W/Btfg1e3XMBJqsdgKPlwCYEmsw2AEBUgAYROjWOFdRCq5ZjTLg/JkTpcP+No/H1+SocL6xFuL8ajWYrtGo5tBoFbHaB6EAfzEsK9+RlEhF5FQYC8jhDkwX7zlfghc9zUFTT3Gfv+9jCcbhjRgx8VVzMiYioKwwENGiYrDacumSARiHDuAgtfvVBJo7l12DZtBhMjAlAYU0TlDIJ3j1cgKxiI4J8lbhpbBjkMgnUChlqGs3Yf74SdU1Xn3CQSyVYeF0EHr8lCaH+nHWRiKgjDAQ0aAkh2h1oKIRAZb0Jgb5KKK55UqHFYkOLxYatGcX421ffodTQAsDRFfFIWiLunBU7EFUnIvI6DAQ0pJ2+ZMBv/3MK2aWO+RLmjQvD+iUTEBWg8XDNiIgGFwYCGvLsdoHXv8x1rtGg0ygwMToAU0YGYtboYFyqbcbNE/RQK2Qu51ltdhwvqEWEToOCmkaM1WvZ7UBEQxYDAQ0bZ0uNeGhzJnLK69scC9eq8IOkcCTqtRgfqcXFigZ8dqYcX5wtdyk3KtQXM0cF46dToxHip8Smb/KhlEuROjoYcSG+GBHI6ZmJyDsxENCw0mKx4cNjRcgqNuBYfi2+q2rs1nlSCWDvxr+Am8aGIT7MDyarHeMi/CGBBNPighAX4tvLmhMR9S8GAhq2hBCw2gXMVjve/iYPFfUmfJlTgaKaZkyOCUCYvxq3T4/GpJhAqORSvHuoADKpBFnFBmw/VQqzzY7Rob7QahTIKKzr8HOUMim+PzYMa26MR4CPAqH+qjbdE0REnsZAQNSK2WpHZYOpy0GHhmYLjM0WjAjUQCKRwGy14419F1HfYkGj2QqlTIqzpfU4W2ZEfYvrrIzhWhV+kzYWt02KgpQzLxLRIMFAQNSP7HaBE4W1ePtgPj4/UwaL7eo/o/GRWjxwYzyig3ywLaMY1Y1mLLwuAjcmhnLhJyIacAwERAOkxWKD1S7w7qEC/HnvBTRenp75WmH+KqREB2D19aMwPS5ogGtJRMMVAwGRB1Q1mPDqngt451ABFDIJ5ifpodepsTWjGDWNZgCARAL87IZRePTmsVwJkoj6HQMBkQcdy6+BXqd2Pq5ostpw8GI1/ptZgi0ZxQCAO1NH4taJUQj0UeDp7dnIKjbghoRQ/HbBWIRr1Z6sPhENIQwERIPU3w/k4Q/bszs87quU4XeLxuGnU6PbTOFMROQuBgKiQUoIgfeOFGLn6VIUVDeh1NCMIF8VHrwpHlsyip2POkbq1Fg7PxHRgRq8vu8ilDIJnv1RMkL8OKsiEXVfvwSC9PR0bNmyBefOnYNGo8GsWbPw3HPPITExsdPzPvroIzz++OPIz89HQkICnnvuOSxcuLDPL4bIG1lsdgCAQiaFzS7w9jd52Lj/IqoazG3K+qnkmBQTgOXTY7Bggp5jEIioS939DnWrPXL//v1Ys2YNDh8+jN27d8NisWD+/PlobOx4VriDBw9i+fLluOeee5CRkYGlS5di6dKlyMrKcuejiYYshUzq7BqQSSW49/pROPDb72PNjaOhkEngp5JjelwQAn0UaDBZ8fWFKtz/3gk8/nEWLDY7bN2ZapGIqAu96jKorKxEWFgY9u/fjxtuuKHdMsuWLUNjYyO2b9/u3Ddz5kxMnDgRGzdubPcck8kEk8nk/NloNCI6OpotBDTstFhsUMqkkEolMFlt2JdTiaN5NXjrmzwIAShkEtjsAmnj9fjptGiM02sR5q/ixEhE5NTdFgJ5bz7EYDAAAIKCOn6m+tChQ1i7dq3LvrS0NGzbtq3Dc9LT07F+/freVI1oSGg9FbJKLkPaeD3Sxusxc1Qw1n6QiXqTY7bET7PK8GlWGQAgKkCDHySFY1SoL348ZQR8lL36Z05Ew0SPWwjsdjtuvfVW1NXV4cCBAx2WUyqV+Mc//oHly5c79/3lL3/B+vXrUV5e3u45bCEg6lqjyYqC6iY0W6z4OLMEu7LKUFFvcikT4qfCr36QgNunxUDGVgOiYanfWwjWrFmDrKysTsNAT6lUKqhUHElN1BlflRxJkY5/3FNGBuHpJRPQYrHh06xSHM2rxYHcShTVNOOxrVn49HQZnro1CfFh/rDZBcMBEbXRo0DwwAMPYPv27fjqq68wYsSITsvq9fo2LQHl5eXQ6/U9+Wgi6oRaIcNtk0bgtkkjYLba8d6RAjy/KwcHcqsw/09f4booHbJLjYjQaXDdCB3ign0xJTYQc8eEAgCfWiAaxtzqMhBC4Je//CW2bt2Kffv2ISEhoctzli1bhqamJvz3v/917ps1axaSk5M7HFR4LT52SNRz2SVGvPh5Dvacq+i0XJCvEk/ckoQJUVoculiNMeH+mDwysM3kSBabHRmFdfj8TBl2nC6FodmClBEBuH16NFJHBSOMsywSDSr9Mg/B/fffj/fffx8ff/yxy9wDOp0OGo1jWdmVK1ciKioK6enpAByPHc6ZMwfPPvssFi1ahM2bN+OZZ57BiRMnMGHChD69GCLq2Lf5NThXVg+z1Y7jBTU4U2JEdYMZjWYrOvq/gJ9KjluSI/CTqSNwssiAs6VGHLxYjeK65g4/Z3psEB5dOBaTYwL76UqIyB39Egg6ak58++23sWrVKgDA3LlzERsbi02bNjmPf/TRR/j973/vnJjo+eef58RERIOE2WpHTaMZ7xzKxxv7L0ICYOrIIORWNjgXZLqWRAKMDPLBvdePwrTYIOw4VYJPTpagsKYJV6ZFGBGowfUJIbhj+kjszCrF9LggaNUKNJttuG6EDjqNYuAukmgY49TFROS23IoG+KpkiNBpYLcLHM6rxstfXMCZYgPGR+qglEuh16nx+KIk6HzafqGXG1vwxx1n8cnJkk4/J8BHgXtmxyHIT4mFEyKglEvhq+LjkUT9gYGAiDxCCIGzpfUoNTTjnUMF2H++0nks2FcJiUSCqgZTm/Nig32wKDkCd8+OQzDXayDqMwwERDQonL5kQICPAhabHTFBPrDaBd49VICMoloc+a4G1dd0S/ir5bg1JRIahQxf5lSgwmjCyBAfxIf6YeWs2G6PTTA0W6BRyKCUc8VIGt4YCIho0LPa7KhuNEMtl2H/hUps3HcR2aXGDsur5FKsmDESJqsNp4sNqKw3XR70GI2YIB9szSjGqUt1uFjZiKN5NdAoZIgO0uD2aTFYNSuWUzrTsMRAQERex2YX2JdTgaN5NbhU24zU0cGYGhuIwuomvHek0KX7wV0p0QEYH6lFqJ8K0UE+iA/zw8TogL6rPNEgxUBAREOK1WbHJydLcKKwFnYBZBTWQQiBUH8VjuTVwGy1I8hXiZ9MHYEQXxXmjw9HcV0zMgrr8NreC2ix2F3eTyIB/rV6JmaOCvbQFRENDAYCIho2Wiw25JTVIy7UF1p126cfcisa8Nf9F2EXgEzqWAyqvsUKnUaBVbNiMSbcH9+LD2n3yQkib8dAQETUgQaTFcv/dhiniw3OfRIJcENCKJ754XWICtB4sHZEfYuBgIioE1abHf86WogtGcWobjCjsKYJgCMYxAb74p7vxWHeuHDodZyKmbwbAwERkRvOlRnxxLYzOJpf47Jfr1XD0GzBuAh//ObmsdBr1c6QoFbIPFFVIrcwEBAR9UCZoQWv7b2APWcrUF7f0uE6D1IJMGVkIH6QFI7Z8SEYp9fysUYalBgIiIh6qcLYgmMFtQjxU2Hzt4XYcqK4w7LjI7V4eP4YzBkTBhmDAQ0iDARERH1ICIHPs8sR4qeEQibFrqwy5JTVo7LB5FxFEgASwvzw8PxEfH9sGGdJpEGBgYCIaIDUNJrxly9z8cGxItS3WAEAo0J9MSHSsarjLckRmBYbxC4F8ggGAiKiAVbdYMIrey7gvydLUNtkcTkWG+yDuYlhCPRRYmpsIEYEahAT5AOg46XlifoCAwERkYcYmiz48FgRiuuaYWy24PPscjSYrG3KKeVSWG12RAZoMDLYBz+aPAKLkiOgkvPpBeo7DARERINEo8mKHadKkV1qRFWDCXvOVqDZYmu3rL9Kjp9Oi8b/zByJXVll8FXJsGxaNFRyGVosNuRWNOC+fx5Ho8mKO2bEYM2N8fBRygf4isibMBAQEQ1SQghUNZhxoaIe0YE+yK1owInCWnx4rAjlRlOb8n4qOSID1LhQ0dDmMcgAHwWeXjIBt6ZEDlDtydswEBAReRm7XWD32XI8vi0LFfUmjArxRYmhuc3CTCF+Stx7/Si8f6TQOcNipE6NKbFBiAv2wf+mxiLUX+WJS6BBiIGAiMhL2ewC1Y0mhPqpUFTTjOd2nUNciC/umBEDP7UcSpkUaoUMFpsdr+25gD9/mQt7q/+Ty6QSzE8Kx/ol4xHmP3BTLxfXNeP9IwVIG69H8oiAdq9LAkAqlUAIwcGUA4SBgIhomLhU24QLFQ3IKKzDnrPlOFNidB4L8VNiXIQWxXXNiA32RaifChabHdPjgrAoOQKnLxnwdW4VpBIgzF+NkcE+mB4XBKlEgk9OlmBidADGhPs73y+vqhEF1Y3Yc7YCGUW1UMtl0GoUyKtqRF5VIwDHYMl548IQ5q/GDydHIXlEAPKqGrH8b4fRaLJCLpOg2WLDzeP1eOaH13EMRD9jICAiGqZOFtXhyU/OILOorkfnK2VSSCSA6fJkS1EBGoRpVVDIpDiaV9PF2W3NGxeG08WGdsdHjAz2QaifCn5qOW4er8ctKZHwUzEg9CUGAiKiYUwIgTJjC4pqmvFNbpXzsUetWgGT1YZ/Hi6A8fIkSn4qOWaOCkJxXQsqjC2objR3+t4JYX4YE+6PW5IjYBdAXbMZscG+SAj3Q4ivCrvPluNMsQHfVTVi+6lS53lxIb74/aJxiAzQoKC6Cf+3OcM5w+MVIX4qPDx/DGaOCkZssA+7FfoAAwEREXXIarOjtsmC7yobXGZRtNsFLtU2o8Vqw8hgHxiaLCiqbUJ2iRGlhhbMSwrH5JjAbn/Ot/k12JpRDL1Wjbtmx8JfrXAeK6lrxpkSI2x2O/KqmvD+0QIU1TQ7j48M9sH/zBiJiAA1EsP9ERPsg6xiIyrrTUgI90OARoGdp0shk0oxOtQXKdEBXIGyHQwERETkVZrMVryx7yIOXqzG6WJDm9aDroRrVXho3hgsmxrNaaJbYSAgIiKv1WS24l9Hi3DoYjVqGk04U2J0GdNQ3WhCi8WOqAANpFKgwmhyHlfIJJgdH4IbE8Nw2+Qo51MZwxUDARERDRlCCJwtrYddCEyI0sFqs6O+xYpAXyUAwGS14d1DBdjwWY4zGFwhl0owLTYIiXp/hGlVuC5Kh9mjQ4ZNKwIDARERDTs1jWZklxjx1YVK/OtIIerbWUMCcEwRPUbvj5vGhWGcXosPjxXhuhE63Pu9UUNu2WoGAiIiGtbKDC24UFEPnUaBD74tglIuRXWDGV/mVDiXqb6Wj1KG6EAfSCRA8OUZIcP91fBXyxF9eXVKb8NAQERE1A6z1Y68qkYcL6jFx5nFyC41wmYXsNoEzLaOBzImj9DhrtmxWJIS5VXdDQwE1HOlp4DtvwJCE4GQBCAkEQgZAwTGAjJOGEJEQ5Oh2YLMojpcqm2CXQDf5tVg+6kS+KsVaDBZYbs8P/RYvT9kUglGBvvgztRYTIoJHLTdDCV1zTAYDEiKjWAgoB44uRnY+vO2+6UKIHi0a0gISXD8qfIb+HoSEfUzk9UGlVyGqgYTPvi2CK/tvdBmsSmpBBgR6IMwfxXGRWhx/42jEaHT9HvdhBBoMtvQaLbiREEtfFVy5Fc3odFkRZPZhnOlRnx9oQpRvgJ71i1kIKAeMJYCRYeBqgtAZQ5Qdd7x2trc8TnaqMsB4XJICL0cGPzCAc40RkRDREF1I/afr0SjyYYzJQYculjdZmbHQB8FnvtRMuaNC++wa6Gg2rH2Q0K4P5rNVnySWQI/tRwTInUorGnCpdpmCAhMiNQhKVKLC+UNGBPuj11nSnGurB7Ftc04eamuTThpT3yAlIGA+pDdDhgvOcJB5fmrIaEqB2is7Pg8le5qK0LolcCQyO4HIhoShBCoqDfh1CUDahvNeOdwPrKKHYtLRerUWJQcgTljwtBotmLmqGBsyyjG1xeq8GVOhbMLoi/4qeQI9FUgPtQPQb4qyKSAQiaFRiHDPTP0iAwLZiCgAdBUczkcnHfdavMB0UF6lSqAoFGuISEkwbGp/Ns/h4hokDNZbXjhsxz862iRc/2Ijvip5Gix2GC1C4yL0CLIV4HSuhZEBmgwKtQXDSYrdmWVocViQ4ROgxJDM4J9VVg2bQTsArh5vB6jw/zQYrEh2FfZ4boPHFRInmdpAWq+cw0JlTlAdS5gaer4PG1Uq3EKV1oXEtn9QEReo8Viw76cSry294LLctRRARqsmBmD66J0+F58CIzNVpwuNmDGqCAoZG0HJlpsV2ZflKLRZIVGIXP7CQcGAhq87HbAWOzobnCOU7jcwtBY0fF5rbsfWo9TCIxj9wMRDUpWmx3Fdc0YEeiDMmMLwvxV7X7x9ycGAvJOTTWOFoTWgxmrcrrX/dA6JFwJDex+IKJhjoGAhharCai+6BoSrrzurPvBP7LVOIVWm7+e3Q9ENCx09zuU7azkHeQqIDzJsbXm7H5oPaDxcjdEYwVQX+LYvtvnep5K2/44hcBYQKYAEdFwwxYCGrqaa12ffrjyuGRtXve6H66EBOfkS+x+ICLvwxYCIk0gED3dsbVmNV19+sE5p0LO1e6HqhzHdi3/yHbGKbD7gYiGBgYCGn7kKiBsnGNrzW53dC+0furhytZQfrX7IW+/63nO7odrxikExbH7gYi8httdBl999RU2bNiA48ePo7S0FFu3bsXSpUs7LL9v3z7ceOONbfaXlpZCr9d36zPZZUAe11wLVOW6tiZU5nTR/SC/3P3QKiSEjgGCEwA1/x4T0cDoty6DxsZGpKSk4O6778YPf/jDbp+Xk5PjUpGwsDB3P5rIczSBQPQ0x9aa1QTU5F196qH1tM6WxqstDNe60v3gMk4hkd0PROQxbgeCBQsWYMGCBW5/UFhYGAICAtw+j2hQk6uAsLGOrTUhrj79UHneje4H3dXujLCkq3/6Bg/cNRHRsDRgYwgmTpwIk8mECRMm4KmnnsLs2bM7LGsymWAymZw/G43GDssSDUoSCaAb4dhGf9/1WHNd+2s/1OQBJoNjpcmiw67n+Ia1DQlhY/nkAxH1mX4PBBEREdi4cSOmTp0Kk8mEN998E3PnzsWRI0cwefLkds9JT0/H+vXr+7tqRJ6hCei4+6E6F6g4C1RkX/2zNt8xp0JeRdsWBV1M2xaFkDGAQj1QV0NEQ0Sv5iGQSCRdDipsz5w5cxATE4N333233ePttRBER0dzUCENT6YGxxiFirOuYaG+tP3yEikQNPqaFoVxjn1c84Fo2BnU8xBMnz4dBw4c6PC4SqWCSqUawBoRDWIqPyBqimNrrakGqDzXqjXhclhorgWqLzi2s59cLS9TOloPrm1R0MUA0oFdbIWIBh+PBILMzExERER44qOJhg6fIGDkLMd2hRCOQYsV2UDFNWHB0giUZzm21hS+lwdGXjNGgctNEw0rbgeChoYG5ObmOn/Oy8tDZmYmgoKCEBMTg3Xr1qG4uBjvvPMOAODll19GXFwcxo8fj5aWFrz55pvYu3cvPv/88767CiJykEgcjy76610HM9rtgKHomvEJZx1dEZZGoPi4Y2tNE+ja5RCWBISOdQQRIhpy3A4Ex44dc5loaO3atQCAO++8E5s2bUJpaSkKCwudx81mMx5++GEUFxfDx8cHycnJ+OKLL9qdrIiI+olUCgSOdGyJN1/db7M6pnFuPYix4ixQc9HR9VDwjWNrzT+i7fiE0LGA0ndgr4mI+hQXNyKitiwtjkchr21RMBR2fE5grGuXQ+hYx4RLco4HIvKk7n6HMhAQUfe1GB1TNrduUag85xi30B6JDAiObzs+ISgOkMoGtu5EwxQDARENnMZqoPKaxyLLsx0TLbVHrr78xEPSNU88jOBARqI+NqgfOySiIcY3GPD9HhD7vav7hHDMlXDtY5EV5wBrM1B2yrG1pvRvf+pmv9CBvR6iYYgtBEQ0sOx2oC6/nScezgN2a/vn+IS0P3WzWjegVSfyRuwyICLvYjU7nm64tkWhJg9AB/+b0o5oO4dCSCKg9BnQqhMNZuwyICLvIlde7S5ozdx0eermayZaMl66uuV+0eoEiWPQ4rVzKATHAzLFgF4SkTdhCwEReafmurZPPFRkA03V7ZeXKhyPQV470ZIu2hFGiIYothAQ0dCmCQBiZji21hoq2060VHEWMNdfDQ3XUuscS0z7hQG+IZ2/VvkNyOURDTQGAiIaWvxCAb85wKg5V/cJARgutV1aujIHsJmAFoNjq77Q9fsrfK6GA99Qx+e1+zoMUAdw4SjyGgwERDT0SSRAQLRjGzP/6n67HWipAxorgYYKx5+dvbY0Oba6QsfWFanc8YREm9Bw+efWr31DOMaBPIqBgIiGL6nUsViTTxAQmth1eVND16Hhys8tdY7HKBvKHFt3aALbdlF01ArBJymojzEQEBF1l8rPsQXFdV3WagaaqrrX8tBYBQibY0Gp5lrHUxVdUfh20l1xTSuEOoAzQFKXGAiIiPqDXAloIx1bV+x2oLmmG10XVUBjBWBtcSxbXdsI1OZ3/f5SRefdFa1f+wQDMn41DEf8r05E5GlS6eUugpC28zBcSwjAVN91q8OVAGEyAHYLUF/i2LokcXShXBnX4BfWzutW4UKh6ZNbQJ7HQEBE5E0kEkCtdWzBo7sub2lxr+sCwjGXQ1M1UNmN+ij9W7UwXH66os3ry60QKi27LgYxBgIioqFMoXasIqkb0XVZu80RBDrrrmj92mZ2zO9QUw/UfNf1+8tUjoCg9AFkSsdTFTLlNa/b29fea5UbZbt4LZUxqICBgIiIrpDKHL/V+4UB4eM7LyuEY+4Gl6DQSdeFud4x54Px0sBci1sk7QcFeXdDRW+Diar779ePwYWBgIiI3CeROGaL1AQAIfFdl7c0Xw4IlY7lr21mwGa5/Gd3XnejrLWb72W3XFM54QgrNlM/3Kg+Ju1uCGm1z9S9FQoYCIiIqP8pNEBAjGPzNCF6EEBMPQgxbgQaZ5hpfbydgGK3OLZrM01nGAiIiIjaIZE4ugMG+6JWQjjGdfQogLR6bTAAzz7Y5ccxEBAREQ1GEoljTgiZHEAvZqY0GgF0HQi46gYRERExEBAREREDAREREYGBgIiIiMBAQERERGAgICIiIjAQEBERERgIiIiICAwEREREBAYCIiIiAgMBERERgYGAiIiIwEBAREREYCAgIiIiMBAQERERGAiIiIgIDAREREQEBgIiIiICAwERERGBgYCIiIjAQEBEREToQSD46quvsHjxYkRGRkIikWDbtm1dnrNv3z5MnjwZKpUK8fHx2LRpUw+qSkRERP3F7UDQ2NiIlJQUvP76690qn5eXh0WLFuHGG29EZmYmHnroIdx777347LPP3K4sERER9Q+5uycsWLAACxYs6Hb5jRs3Ii4uDi+++CIAYNy4cThw4AD+9Kc/IS0tzd2PJyIion7Q72MIDh06hHnz5rnsS0tLw6FDhzo8x2QywWg0umxERETUf/o9EJSVlSE8PNxlX3h4OIxGI5qbm9s9Jz09HTqdzrlFR0f3dzWJiIiGtUH5lMG6detgMBicW1FRkaerRERENKS5PYbAXXq9HuXl5S77ysvLodVqodFo2j1HpVJBpVL1d9WIiIjosn5vIUhNTcWePXtc9u3evRupqan9/dFERETUTW4HgoaGBmRmZiIzMxOA47HCzMxMFBYWAnA0969cudJZ/r777sN3332H3/zmNzh37hz+8pe/4MMPP8SvfvWrvrkCIiIi6jW3A8GxY8cwadIkTJo0CQCwdu1aTJo0CU888QQAoLS01BkOACAuLg47duzA7t27kZKSghdffBFvvvkmHzkkIiIaRCRCCOHpSnTFaDRCp9PBYDBAq9V6ujpEREReo7vfoYPyKQMiIiIaWAwERERExEBAREREDAREREQEBgIiIiICAwERERGBgYCIiIjAQEBERERgICAiIiIwEBAREREYCIiIiAgMBERERAQGAiIiIgIDAREREYGBgIiIiMBAQERERGAgICIiIjAQEBERERgIiIiICAwEREREBAYCIiIiAgMBERERgYGAiIiIwEBAREREYCAgIiIiMBAQERERGAiIiIgIDAREREQEBgIiIiICAwERERGBgYCIiIjAQEBERERgICAiIiIwEBAREREYCIiIiAgMBERERAQGAiIiIgIDAREREYGBgIiIiMBAQERERGAgICIiIjAQEBEREXoYCF5//XXExsZCrVZjxowZOHr0aIdlN23aBIlE4rKp1eoeV5iIiIj6ntuB4IMPPsDatWvx5JNP4sSJE0hJSUFaWhoqKio6PEer1aK0tNS5FRQU9KrSRERE1LfcDgQvvfQSVq9ejbvuugtJSUnYuHEjfHx88NZbb3V4jkQigV6vd27h4eG9qjQRERH1LbcCgdlsxvHjxzFv3ryrbyCVYt68eTh06FCH5zU0NGDkyJGIjo7GkiVLcObMmU4/x2QywWg0umxERETUf9wKBFVVVbDZbG1+ww8PD0dZWVm75yQmJuKtt97Cxx9/jH/+85+w2+2YNWsWLl261OHnpKenQ6fTObfo6Gh3qklERERu6venDFJTU7Fy5UpMnDgRc+bMwZYtWxAaGoq//vWvHZ6zbt06GAwG51ZUVNTf1SQiIhrW5O4UDgkJgUwmQ3l5ucv+8vJy6PX6br2HQqHApEmTkJub22EZlUoFlUrlTtWIiIioF9xqIVAqlZgyZQr27Nnj3Ge327Fnzx6kpqZ26z1sNhtOnz6NiIgI92pKRERE/catFgIAWLt2Le68805MnToV06dPx8svv4zGxkbcddddAICVK1ciKioK6enpAICnn34aM2fORHx8POrq6rBhwwYUFBTg3nvv7dsrISIioh5zOxAsW7YMlZWVeOKJJ1BWVoaJEydi165dzoGGhYWFkEqvNjzU1tZi9erVKCsrQ2BgIKZMmYKDBw8iKSmp766CiIiIekUihBCerkRXjEYjdDodDAYDtFqtp6tDRETkNbr7Hcq1DIiIiIiBgIiIiBgIiIiICAwEREREBAYCIiIiAgMBERERgYGAiIiIwEBAREREYCAgIiIiMBAQERERGAiIiIgIDAREREQEBgIiIiICAwERERGBgYCIiIjAQEBERERgICAiIiIwEBAREREYCIiIiAgMBERERAQGAiIiIgIDAREREYGBgIiIiMBAQERERGAgICIiIjAQEBERERgIiIiICAwEREREBAYCIiIiAgMBERERgYGAiIiIwEBAREREYCAgIiIiMBAQERERGAiIiIgIDAREREQEBgIiIiICAwERERGBgYCIiIjAQEBERERgICAiIiIwEBAREREYCIiIiAg9DASvv/46YmNjoVarMWPGDBw9erTT8h999BHGjh0LtVqN6667Djt37uxRZYmIiKh/uB0IPvjgA6xduxZPPvkkTpw4gZSUFKSlpaGioqLd8gcPHsTy5ctxzz33ICMjA0uXLsXSpUuRlZXV68oTERFR35AIIYQ7J8yYMQPTpk3Dn//8ZwCA3W5HdHQ0fvnLX+LRRx9tU37ZsmVobGzE9u3bnftmzpyJiRMnYuPGje1+hslkgslkcv5sMBgQExODoqIiaLVad6pLREQ0rBmNRkRHR6Ourg46na7DcnJ33tRsNuP48eNYt26dc59UKsW8efNw6NChds85dOgQ1q5d67IvLS0N27Zt6/Bz0tPTsX79+jb7o6Oj3akuERERXVZfX993gaCqqgo2mw3h4eEu+8PDw3Hu3Ll2zykrK2u3fFlZWYefs27dOpcQUVdXh5EjR6KwsLDTi6GOXUmIbGXpGd6/3uM97D3ew94bjvdQCIH6+npERkZ2Ws6tQDBQVCoVVCpVm/06nW7Y/AfsL1qtlvewF3j/eo/3sPd4D3tvuN3D7vwy7dagwpCQEMhkMpSXl7vsLy8vh16vb/ccvV7vVnkiIiIaeG4FAqVSiSlTpmDPnj3OfXa7HXv27EFqamq756SmprqUB4Ddu3d3WJ6IiIgGnttdBmvXrsWdd96JqVOnYvr06Xj55ZfR2NiIu+66CwCwcuVKREVFIT09HQDw4IMPYs6cOXjxxRexaNEibN68GceOHcPf/va3bn+mSqXCk08+2W43AnUP72Hv8P71Hu9h7/Ee9h7vYcfcfuwQAP785z9jw4YNKCsrw8SJE/Hqq69ixowZAIC5c+ciNjYWmzZtcpb/6KOP8Pvf/x75+flISEjA888/j4ULF/bZRRAREVHv9CgQEBER0dDCtQyIiIiIgYCIiIgYCIiIiAgMBERERAQvCATuLrU8nHz11VdYvHgxIiMjIZFI2qwPIYTAE088gYiICGg0GsybNw8XLlxwKVNTU4MVK1ZAq9UiICAA99xzDxoaGgbwKjwnPT0d06ZNg7+/P8LCwrB06VLk5OS4lGlpacGaNWsQHBwMPz8//OhHP2oz0VZhYSEWLVoEHx8fhIWF4de//jWsVutAXorHvPHGG0hOTnbO+paamopPP/3UeZz3z33PPvssJBIJHnroIec+3sfOPfXUU5BIJC7b2LFjncd5/7pJDGKbN28WSqVSvPXWW+LMmTNi9erVIiAgQJSXl3u6aoPCzp07xWOPPSa2bNkiAIitW7e6HH/22WeFTqcT27ZtEydPnhS33nqriIuLE83Nzc4yN998s0hJSRGHDx8WX3/9tYiPjxfLly8f4CvxjLS0NPH222+LrKwskZmZKRYuXChiYmJEQ0ODs8x9990noqOjxZ49e8SxY8fEzJkzxaxZs5zHrVarmDBhgpg3b57IyMgQO3fuFCEhIWLdunWeuKQB98knn4gdO3aI8+fPi5ycHPG73/1OKBQKkZWVJYTg/XPX0aNHRWxsrEhOThYPPvigcz/vY+eefPJJMX78eFFaWurcKisrncd5/7pnUAeC6dOnizVr1jh/ttlsIjIyUqSnp3uwVoPTtYHAbrcLvV4vNmzY4NxXV1cnVCqV+Ne//iWEECI7O1sAEN9++62zzKeffiokEokoLi4esLoPFhUVFQKA2L9/vxDCcb8UCoX46KOPnGXOnj0rAIhDhw4JIRyhTCqVirKyMmeZN954Q2i1WmEymQb2AgaJwMBA8eabb/L+uam+vl4kJCSI3bt3izlz5jgDAe9j15588kmRkpLS7jHev+4btF0GV5ZanjdvnnNfV0st01V5eXkoKytzuX86nQ4zZsxw3r9Dhw4hICAAU6dOdZaZN28epFIpjhw5MuB19jSDwQAACAoKAgAcP34cFovF5R6OHTsWMTExLvfwuuuuc1nRMy0tDUajEWfOnBnA2nuezWbD5s2b0djYiNTUVN4/N61ZswaLFi1yuV8A/x5214ULFxAZGYlRo0ZhxYoVKCwsBMD7545Budoh0LOllumqK8tLd7b0dFlZGcLCwlyOy+VyBAUFdbo89VBkt9vx0EMPYfbs2ZgwYQIAx/1RKpUICAhwKXvtPWzvHl85NhycPn0aqampaGlpgZ+fH7Zu3YqkpCRkZmby/nXT5s2bceLECXz77bdtjvHvYddmzJiBTZs2ITExEaWlpVi/fj2uv/56ZGVl8f65YdAGAqKBtGbNGmRlZeHAgQOerorXSUxMRGZmJgwGA/7973/jzjvvxP79+z1dLa9RVFSEBx98ELt374ZarfZ0dbzSggULnK+Tk5MxY8YMjBw5Eh9++CE0Go0Ha+ZdBm2XQU+WWqarrtyjzu6fXq9HRUWFy3Gr1YqampphdY8feOABbN++HV9++SVGjBjh3K/X62E2m1FXV+dS/tp72N49vnJsOFAqlYiPj8eUKVOQnp6OlJQUvPLKK7x/3XT8+HFUVFRg8uTJkMvlkMvl2L9/P1599VXI5XKEh4fzPropICAAY8aMQW5uLv8eumHQBoKeLLVMV8XFxUGv17vcP6PRiCNHjjjvX2pqKurq6nD8+HFnmb1798JutzsXqxrKhBB44IEHsHXrVuzduxdxcXEux6dMmQKFQuFyD3NyclBYWOhyD0+fPu0SrHbv3g2tVoukpKSBuZBBxm63w2Qy8f5100033YTTp08jMzPTuU2dOhUrVqxwvuZ9dE9DQwMuXryIiIgI/j10h6dHNXZm8+bNQqVSiU2bNons7Gzxs5/9TAQEBLiMBB3O6uvrRUZGhsjIyBAAxEsvvSQyMjJEQUGBEMLx2GFAQID4+OOPxalTp8SSJUvafexw0qRJ4siRI+LAgQMiISFh2Dx2+Itf/ELodDqxb98+l8eVmpqanGXuu+8+ERMTI/bu3SuOHTsmUlNTRWpqqvP4lceV5s+fLzIzM8WuXbtEaGjosHlc6dFHHxX79+8XeXl54tSpU+LRRx8VEolEfP7550II3r+eav2UgRC8j115+OGHxb59+0ReXp745ptvxLx580RISIioqKgQQvD+ddegDgRCCPHaa6+JmJgYoVQqxfTp08Xhw4c9XaVB48svvxQA2mx33nmnEMLx6OHjjz8uwsPDhUqlEjfddJPIyclxeY/q6mqxfPly4efnJ7RarbjrrrtEfX29B65m4LV37wCIt99+21mmublZ3H///SIwMFD4+PiI2267TZSWlrq8T35+vliwYIHQaDQiJCREPPzww8JisQzw1XjG3XffLUaOHCmUSqUIDQ0VN910kzMMCMH711PXBgLex84tW7ZMRERECKVSKaKiosSyZctEbm6u8zjvX/dw+WMiIiIavGMIiIiIaOAwEBAREREDARERETEQEBERERgIiIiICAwEREREBAYCIiIiAgMBERERgYGAiIiIwEBAREREYCAgIiIiAP8fpdzawHDUQMwAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 600x400 with 1 Axes>"
       ]
@@ -684,11 +686,66 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "    /* Turns off some styling */\n",
+       "    progress {\n",
+       "        /* gets rid of default border in Firefox and Opera. */\n",
+       "        border: none;\n",
+       "        /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "        background-size: auto;\n",
+       "    }\n",
+       "    progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
+       "        background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
+       "    }\n",
+       "    .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+       "        background: #F44336;\n",
+       "    }\n",
+       "</style>\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(#2) [1.2578742504119873,0.9661017060279846]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "learn.validate(dl=dls.valid)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "learn.get_preds(dls.test_dl(valid_dataset))"
+    "Looks like we got an accuracy of 96.61% on the validatation dataset."
    ]
   },
   {
@@ -714,11 +771,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Path('models/my-resnet18-model.pth')"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "learn = learn.to_fp32()\n",
     "learn.save('my-resnet18-model', with_opt=False)"
diff --git a/vl_datasets/oxford_pet.py b/vl_datasets/oxford_pet.py
index 05361dc..7a15ad3 100644
--- a/vl_datasets/oxford_pet.py
+++ b/vl_datasets/oxford_pet.py
@@ -37,7 +37,7 @@ def __init__(
         transform: Optional[Callable] = None,
         target_transform: Optional[Callable] = None,
         exclude_csv: Optional[str] = None,
-        download: bool = False,
+        download: bool = True,
     ):
         self._split = verify_str_arg(split, "split", ("trainval", "test"))
         if isinstance(target_types, str):
@@ -52,6 +52,7 @@ def __init__(
             transforms=transforms,
             transform=transform,
             target_transform=target_transform,
+            download=download
         )
 
         self._base_folder = pathlib.Path(self.root) / "oxford-iiit-pet"
@@ -106,7 +107,7 @@ def __init__(
 
         # A copy of self.exclude_set but without file extension
         exclude_set_filenames = {
-            filename.split(".")[0] for filename in self.exclude_set
+            filename.split("/")[-1].split(".")[0] for filename in self.exclude_set
         }
 
         with open(self._anns_folder / f"{self._split}.txt") as file: